Reliable AI blogs focus on explanation, context, and long-term direction over fast updates.Research, open source, and ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Scour phenomena beneath hydraulic structures present a persistent challenge in civil and environmental engineering. Recent advances in artificial intelligence (AI) have provided robust tools to ...

The titans of the tech industry say artificial intelligence will soon match the powers of humans’ brains. Are they underestimating us? Credit...Photo illustration by Pablo Delcan Supported by By Cade ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...

A groundbreaking artificial intelligence model has achieved unprecedented accuracy in tropical cyclone intensity prediction, marking a significant advancement in weather forecasting technology. The ...

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

Students are increasingly drawn to AI and Machine Learning engineering degrees. While both fields involve computers and data, ...

The Johns Hopkins University Data Science and AI Institute welcomes applications for its Postdoctoral Fellowship program, seeking disciplinarily diverse scholars to advance foundational methods of ...